Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.

Necessary

Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

Cookie	Duration	Description
cookielawinfo-checbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category “Analytics”.
cookielawinfo-checbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category “Functional”.
cookielawinfo-checbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category “Other.
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category “Necessary”.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category “Performance”.
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Performance

Analytics

Others

May 09, 2025

Catalog 2024-2025

HELP

Catalog 2024-2025 [ARCHIVED CATALOG]

CIS 2420 - Data Visualization and Power BI

Credits: 3

This course introduces students to the foundational skills required to use data visualization tools and the Power BI Desktop. Through applied projects, students gain insight into data trends and patterns for better decision-making. Students use Power Query editor and M language to pull data from numerous data sources, produce unified data sets for data analysis, merge and stack data together, and shape data from various sources to create different visualizations. This course builds skill in data analytics and the ability to make data-driven decisions.

Prerequisites: Introduction to Computer Science

Click here for course offerings